SCADA-based operation state assessment and fault diagnosis method of wind turbine generator

Abstract

The invention discloses an SCADA-based operation state assessment and fault diagnosis method of a wind turbine generator. The method comprises: on the basis of sample data extracted by an SCADA system, a correlation relationship between operation data of a wind turbine generator and operating characteristics of main parts is studied; a wind turbine generator operation state prediction method basedon a clustering algorithm, a cluster analysis and a machine learning method is studied; and a fault diagnosis method of the wind turbine generator is studied and on the basis of a decision tree modeland an association rule theory, a fault diagnosis rule is studied by combining statistical characteristics of the long-term stable operation state of the wind turbine generator. Therefore, the operation state evaluation and fault diagnosis of the wind turbine generator are realized.

Description

technical field [0001] The invention relates to the technical field of analysis methods, in particular to a SCADA-based method for evaluating the operating state of a wind turbine and diagnosing a fault. Background technique [0002] With the rapid growth of my country's wind power installed capacity, the proportion of total installed capacity is increasing year by year. With the huge development prospects of resources, the construction of large-capacity wind farms is developing from land to offshore, and even to deep sea areas. Compared with land wind turbines, offshore wind turbines will face harsher operating environmental conditions and higher operation and maintenance costs. For example, the 160MW Horns Rev wind farm in Denmark was built and operated in 2002. In the early stage of operation, there were many faults in the safety system, electronic control system, and transformer of the wind turbines. Only during the operation period from 2003 to 2004, 80 On average, eac...

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Problems solved by technology

--For example, the 160MW Horns Rev wind farm built and operated in Denmark in 2002. In the early stage of operation, there were many faults in the safety system, electronic control system, and transformer of the wind turbine. Only during the operation period from 2003 to 2004, The 80 wind turbines are maintained almost twice a day on average, which directly resulted in a loss of nearly 40 million euros in 2004. Such a high field failure maintenance rate and the high maintenance costs brought by it were unexpected by the operator

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